flowistry
rr
flowistry | rr | |
---|---|---|
15 | 102 | |
1,822 | 8,665 | |
- | 1.1% | |
7.3 | 9.6 | |
3 months ago | 3 days ago | |
Rust | C++ | |
MIT License | GNU General Public License v3.0 or later |
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flowistry
- An IDE plugin for Rust that helps you focus on relevant code
- Flowistry: an IDE plugin that analyzes the information flow of Rust programs, showing whether it's possible for one piece of code to affect another
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Any data flow visualization tools?
https://github.com/willcrichton/flowistry https://github.com/cognitive-engineering-lab/aquascope
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When do Rust's traits make your life difficult?
Hello Rustaceans, the same lab that has brought you The Rust Book Experiment, Aquascope, and Flowistry is starting a new endeavor. We want to understand when Rust's trait system makes it hard for you to understand or debug a Rust program.
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rustc-plugin: A framework for writing plugins that integrate with the Rust compiler
I'm personally excited about building developer tools with a sophisticated understanding of your Rust programs. So I've worked on tools like Flowistry and Aquascope.
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[blog] Rust should own its debugger experience
Maybe this vscode extension could be useful to you?
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Plugins/extensions for the Rust Analyzer?..
Maybe you would be interested in flowistry?
- flowistry plugin?
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Learn You an Agda (2014)
Quick, easy formal verification tools that programmers can use on the spot from the IDE are hard to make for most languages because most languages and their compilers weren't made with such thing in mind.
I guess Rust might be heading somewhere interesting with tooling, with tools like Flowistry existing (https://github.com/willcrichton/flowistry) showing what is possible. It's a plugin that can compute backwards / forwards static slices for you, straight in the IDE as a VSCode plugin. I think you need an external program that runs a full program analysis to do the same in C++.
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Visual lifetime indicator
Based on how Flowistry works I think this should be possible.
rr
- rr: Lightweight Recording and Deterministic Debugging
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Hermit is a hermetic and reproducible sandbox for running programs
I think this tool must share a lot techniques and use cases with rr. I wonder how it compares in various aspects.
https://rr-project.org/
rr "sells" as a "reversible debugger", but it obviously needs the determinism for its record and replay to work, and AFAIK it employs similar techniques regarding system call interception and serializing on a single CPU. The reversible debugger aspect is built on periodic snapshotting on top of it and replaying from those snapshots, AFAIK. They package it in a gdb compatible interface.
Hermit also lists record/replay as a motivation, although it doesn't list reversible debugging in general.
- Rr: Lightweight Recording and Deterministic Debugging
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Deep Bug
Interesting. Perhaps you can inspect the disassembly of the function in question when using Graal and HotSpot. It is likely related to that.
Another debugging technique we use for heisenbugs is to see if `rr` [1] can reproduce it. If it can then that's great as it allows you to go back in time to debug what may have caused the bug. But `rr` is often not great for concurrency bugs since it emulates a single-core machine. Though debugging a VM is generally a nightmare. What we desperately need is a debugger that can debug both the VM and the language running on top of it. Usually it's one or the other.
> In general I’d argue you haven’t fixed a bug unless you understand why it happened and why your fix worked, which makes this frustrating, since every indication is that the bug exists within proprietary code that is out of my reach.
Were you using Oracle GraalVM? GraalVM community edition is open source, so maybe it's worth checking if it is reproducible in that.
[1]: https://github.com/rr-debugger/rr
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So you think you want to write a deterministic hypervisor?
https://rr-project.org/ had the same problem. They use the retired conditional branch counter instead of instruction counter, and then instruction steeping until at the correct address.
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Is Something Bugging You?
That'll work great for your Distributed QSort Incorporated startup, where the only product is a sorting algorithm.
Formal software verification is very useful. But what can be usefully formalized is rather limited, and what can be formalized correctly in practice is even more limited. That means you need to restrict your scope to something sane and useful. As a result, in the real world running thousands of tests is practically useful. (Well, it depends on what those tests are; it's easy to write 1000s of tests that either test the same thing, or only test the things that will pass and not the things that would fail.) They are especially useful if running in a mode where the unexpected happens often, as it sounds like this system can do. (It's reminiscent of rr's chaos mode -- https://rr-project.org/ linking to https://robert.ocallahan.org/2016/02/introducing-rr-chaos-mo... )
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When "letting it crash" is not enough
The approach of check-pointing computation such that it is resumable and restartable sounds similar to a time-traveling debugger, like rr or WinDbg:
https://rr-project.org/
https://learn.microsoft.com/windows-hardware/drivers/debugge...
- When I got started I debugged using printf() today I debug with print()
- Rr: Record and Replay Debugger – Reverse Debugger
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OpenBSD KDE Plasma Desktop
https://github.com/rr-debugger/rr?tab=readme-ov-file#system-...
What are some alternatives?
rustviz - Interactively Visualizing Ownership and Borrowing for Rust
CodeLLDB - A native debugger extension for VSCode based on LLDB
code2flow - Pretty good call graphs for dynamic languages
rrweb - record and replay the web
Sourcetrail - Sourcetrail - free and open-source interactive source explorer
gef - GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging capabilities for exploit devs & reverse engineers on Linux
wslgit - Use Git installed in Bash on Windows/Windows Subsystem for Linux (WSL) from Windows and Visual Studio Code (VSCode)
Module Linker - browse modules by clicking directly on "import" statements on GitHub
dbgee - The zero-configuration debuggee for debuggers. Handy utility that allows you to launch CLI debuggers and VSCode debuggers from the debuggee side.
nbdev - Create delightful software with Jupyter Notebooks
shisho - Lightweight static analyzer for several programming languages
clog-cli - Generate beautiful changelogs from your Git commit history